In:
Genome Research, Cold Spring Harbor Laboratory, Vol. 9, No. 11 ( 1999-11-01), p. 1106-1115
Abstract:
Analysis procedures are needed to extract useful information from the large amount of gene expression data that is becoming available. This work describes a set of analytical tools and their application to yeast cell cycle data. The components of our approach are (1) a similarity measure that reduces the number of false positives, (2) a new clustering algorithm designed specifically for grouping gene expression patterns, and (3) an interactive graphical cluster analysis tool that allows user feedback and validation. We use the clusters generated by our algorithm to summarize genome-wide expression and to initiate supervised clustering of genes into biologically meaningful groups.
Type of Medium:
Online Resource
ISSN:
1088-9051
,
1549-5469
DOI:
10.1101/gr.9.11.1106
Language:
English
Publisher:
Cold Spring Harbor Laboratory
Publication Date:
1999
detail.hit.zdb_id:
1483456-X
SSG:
12
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